• Acta Photonica Sinica
  • Vol. 49, Issue 6, 0610003 (2020)
Guo-qing YAN, Feng-bao YANG*, Xiao-xia WANG, Yong TAO, and Xiang-yan LI
Author Affiliations
  • College of Information and Communication Engineering, North University of China, Taiyuan 030051, China
  • show less
    DOI: 10.3788/gzxb20204906.0610003 Cite this Article
    Guo-qing YAN, Feng-bao YANG, Xiao-xia WANG, Yong TAO, Xiang-yan LI. Fusion Ghost Imaging Method Based on Frequency Domain Decomposition[J]. Acta Photonica Sinica, 2020, 49(6): 0610003 Copy Citation Text show less
    References

    [1] Y BROMBERG, O KATZ, Y SILBERBERG. Ghost imaging with a single detector. Physical Review A, 79, 053840(2009).

    [2] KHAMOUSHI S M MAHDI, Y NOSRATI, TAVASSOLI S HASSAN. Sinusoidal ghost imaging. Optics Letters, 40, 3452-3455(2015).

    [4] , H JEFFREY. Computational ghost imaging. Physical Review A, 78, 061802(2008).

    [5] F FERRI, D MGATTI, L A LUGIATO. Differential ghost imaging. Physical Review Letters, 104, 253603(2010).

    [7] Kai-hong LUO, Bo-qiang HUANG, Wei-mou ZHENG. Nonlocal imaging by conditional averaging of random reference measurements. Chinese Physics Letters, 29, 74216-74220(2012).

    [8] Ming-fei LI, Yu-ran ZHANG, Kai-hong LUO. Time-correspondence differential ghost imaging. Physical Review A, 87, 033813(2013).

    [9] S J OLIVAS, Y RACHLIN, L GU. Characterization of a compressive imaging system using laboratory and natural light scenes. Applied Optics, 52, 4515-4526(2013).

    [10] Xiao-xia WANG, Yong TAO, Feng-bao YANG. An effective compressive computational ghost imaging with hybrid speckle pattern. Optics Communications, 454, 124470(2020).

    [12] Lian-sheng SUI, Cong DU, Min-jie XU. Information encryption based on the customized data container under the framework of computational ghost imaging. Optics Express, 27, 16493-16506(2019).

    [13] B I ERKMEN. Computational ghost imaging for remote sensing. Journal of the Optical Society of America A, 29, 782-789(2012).

    [14] Y KLEIN, A SCHORI, I P DOLBNYA. X-ray computational ghost imaging with single-pixel detector. Optics Express, 27, 3284-3293(2019).

    [16] Tian-yi MAO, Qian CHEN, Wei-ji HE. Speckle-shifting ghost imaging. IEEE Photonics Journal, 8, 1-10(2016).

    [17] Le WANG, Li ZOU, Sheng-mei ZHAO. Edge detection based on subpixel-speckle-shifting ghost imaging. Optics Communications, 407, 181-185(2018).

    [18] Xue-feng LIU, Ruo-ming LAN, Chao WANG. Edge detection based on gradient ghost imaging. Optics Express, 23, 33802(2015).

    [19] J SPRIGG, T PENG, Yan-hua SHIH. Super-resolution imaging using the spatial frequency filtered intensity fluctuation correlation. Scientific Reports, 1, 38077(2016).

    [20] Xi-hao CHEN, Fan-hui KONG, Qiang FU. Sub-Rayleigh resolution ghost imaging by spatial low-pass filtering. Optics Letters, 42, 5290-5293(2017).

    [21] Y YUYA, N TAKANORI. Computational ghost imaging with designed low spatial frequency masks. Applied Optics, 57, 9375-9380(2018).

    [22] Kai-xian GUO, Yan-feng BAI, Xi-quan FU. Ghost imaging of the low or high frequency based on the corresponding spatial-frequency of the reference pattern. Optics Communications, 444, 120-126(2019).

    CLP Journals

    [1] Xiao-xia WANG, Yong TAO, Feng-bao YANG, Jiang-tao XI. An Optimization Method of Ghost Imaging Based on Multiple Speckle Patterns Combination-modulation[J]. Acta Photonica Sinica, 2020, 49(12): 226

    Guo-qing YAN, Feng-bao YANG, Xiao-xia WANG, Yong TAO, Xiang-yan LI. Fusion Ghost Imaging Method Based on Frequency Domain Decomposition[J]. Acta Photonica Sinica, 2020, 49(6): 0610003
    Download Citation